Hakan Bilen

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Andrea VedaldiUniversity of OxfordVerified email at robots.ox.ac.uk
Basura FernandoScientist at A*STAR SingaporeVerified email at ihpc.a-star.edu.sg
Efstratios GavvesAssistant Professor at University of AmsterdamVerified email at uva.nl
James ThewlisUnitary LtdVerified email at robots.ox.ac.uk
Stephen GouldProfessor at Australian National University | Scholar at AmazonVerified email at anu.edu.au
Sylvestre-Alvise RebuffiGraduate student at Visual Geometry Group, University of OxfordVerified email at robots.ox.ac.uk
Tomas JakabPhD Student, VGG, University of OxfordVerified email at robots.ox.ac.uk
Tinne TuytelaarsKU Leuven - PSI, BelgiumVerified email at esat.kuleuven.be
Marco PedersoliAssociate professor, École de technologie supérieure, Montréal, Québec, CanadaVerified email at etsmtl.ca
Ankush GuptaDeepMind, OxfordVerified email at robots.ox.ac.uk
Vinay P. NamboodiriDepartment of Computer Science and Engineering, IIT KanpurVerified email at iitk.ac.in
Luc Van Goolprofessor computer vision ETH Zurich & KU Leuven, Head Toyota Lab TRACE @ KUL & ETHVerified email at ethz.ch
Mustafa UnelProfessor, Sabanci UniversityVerified email at sabanciuniv.edu
Bo ZhaoUniversity of EdinburghVerified email at ed.ac.uk
Konda Reddy MopuriIndian Institute of Technology TirupatiVerified email at iittp.ac.in
Lucas DeeckeUniversity of EdinburghVerified email at ed.ac.uk
Asif SabanovicORCID:0000-0002-2783-9354, International University of Sarajevo; Sabanci University,Verified email at ius.edu.ba
Aravindh MahendranGoogle BrainVerified email at google.com
João F. HenriquesVisual Geometry Group, University of OxfordVerified email at robots.ox.ac.uk
Taku KomuraSchool of Informatics, The University of EdinburghVerified email at ed.ac.uk

Hakan Bilen

School of Informatics, University of Edinburgh

Verified email at ed.ac.uk - Homepage

Computer Vision Machine Learning


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
Dynamic image networks for action recognition H Bilen, B Fernando, E Gavves, A Vedaldi, S Gould Proceedings of the IEEE conference on computer vision and pattern …, 2016	486	2016
Weakly Supervised Deep Detection Networks H Bilen, A Vedaldi Conference on Computer Vision and Pattern Recognition (CVPR), 2016	473	2016
Learning multiple visual domains with residual adapters SA Rebuffi, H Bilen, A Vedaldi Conference on Neural Information Processing Systems (NIPS), 2017	246	2017
Self-supervised video representation learning with odd-one-out networks B Fernando, H Bilen, E Gavves, S Gould Conference on Computer Vision and Pattern Recognition (CVPR), 2017	225	2017
Weakly Supervised Object Detection with Convex Clustering H Bilen, M Pedersoli, T Tuytelaars Conference on Computer Vision and Pattern Recognition, 2015	185	2015
Efficient parametrization of multi-domain deep neural networks SA Rebuffi, H Bilen, A Vedaldi Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2018	146	2018
Action recognition with dynamic image networks H Bilen, B Fernando, E Gavves, A Vedaldi IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2017	145	2017
Weakly Supervised Object Detection with Posterior Regularization H Bilen, M Pedersoli, T Tuytelaars The British Machine Vision Conference, 2014	138	2014
Universal representations: The missing link between faces, text, planktons, and cat breeds H Bilen, A Vedaldi arXiv preprint arXiv:1701.07275, 2017	95	2017
Unsupervised Learning of Object Landmarks through Conditional Image Generation T Jakab, A Gupta, H Bilen, A Vedaldi Advances in Neural Information Processing Systems (NIPS), 2018	93*	2018
Unsupervised learning of object landmarks by factorized spatial embeddings J Thewlis, H Bilen, A Vedaldi International Conference on Computer Vision (ICCV), 2017	87	2017
Unsupervised object learning from dense equivariant image labelling J Thewlis, H Bilen, A Vedaldi Advances in Neural Information Processing Systems (NIPS), 2017	67	2017
Integrated perception with recurrent multi-task neural networks H Bilen, A Vedaldi Advances in Neural Information Processing Systems, 2016	62	2016
Object and action classification with latent window parameters H Bilen, VP Namboodiri, LJ Van Gool International Journal of Computer Vision 106 (3), 237-251, 2014	31	2014
idlg: Improved deep leakage from gradients B Zhao, KR Mopuri, H Bilen arXiv preprint arXiv:2001.02610, 2020	29	2020
Micromanipulation using a microassembly workstation with vision and force sensing H Bilen, M Unel International Conference on Intelligent Computing, 1164-1172, 2008	27	2008
Object and Action Classification with Latent Variables H Bilen, VP Namboodiri, L Van Gool The British Machine Vision Conference, 2011	24	2011
Unsupervised learning of landmarks by descriptor vector exchange J Thewlis, S Albanie, H Bilen, A Vedaldi Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2019	19	2019
Developing robust vision modules for microsystems applications H Bilen, MA Hocaoglu, M Unel, A Sabanovic Machine Vision and Applications, 1-18, 2010	18	2010
Self-supervised learning of interpretable keypoints from unlabelled videos T Jakab, A Gupta, H Bilen, A Vedaldi Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2020	17*	2020

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